APPLICATION OF SUPERVISED LEARNING
SUPPORT VECTOR MACHINE SVM
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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the accuracy of SVM
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High
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Low
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -It gives very good results in terms of accuracy when the data are linearly or non-linearly separable. When the data are linearly separable, the SVMs result is a separating hyperplane, which maximizes the margin of separation between classes, measured along a line perpendicular to the hyperplane.
Detailed explanation-2: -Step 1: Import libraries. Step 2: Add datasets, insert the desired number of features and train the model. Step 3: Predicting the output and printing the accuracy of the model. Step 4: Finally plotting the classifier for our program.
There is 1 question to complete.